Li Z, Zhang W, Yan C, Zhou Q, Li C, Liu H, Cao Y. Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems, in Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics; 2022:2486–2496. 访问链接

Fu B, Liu H, Zhu Y, Song Y, Zhang T, Wu Z. Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit, in The 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021. Springer; 2021:359–375. 访问链接

Zhu Y, Liu H, Du Y, Wu Z. IFSpard: An Information Fusion-based Framework for Spam Review Detection, in WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2; 2021:507–517. 访问链接

Du Y, Liu H, Wu Z. Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation, in European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021. Springer; 2021:516–531. 访问链接

Zhu Y, Liu H, Wu Z, Du Y. Relation-Aware Neighborhood Matching Model for Entity Alignment, in Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual Event, February 2-9, 2021. AAAI Press; 2021:4749–4756. 访问链接

Sun H, Tan X, Gan J-W, Liu H, Zhao S, Qin T, Liu T-Y. Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion, in 20th Annual Conference of the International Speech Communication Association, Interspeech 2019, Graz, Austria, September 15-19, 2019. ISCA; 2019:2115–2119. 访问链接

Liu H, Du Y, Wu Z. AEM: Attentional Ensemble Model for personalized classifier weight learning. Pattern Recognition [Internet]. 2019;96. 访问链接

Dong Z, Sun S, Liu H, Lou J-G, Zhang D. Data-Anonymous Encoding for Text-to-SQL Generation, in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, EMNLP 2019, Hong Kong, China, November 3-7, 2019. Association for Computational Linguistics; 2019:5404–5413. 访问链接

Zhu Y, Liu H, Wu Z, Song Y, Zhang T. Representation Learning with Ordered Relation Paths for Knowledge Graph Completion, in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, EMNLP 2019, Hong Kong, China, November 3-7, 2019. Association for Computational Linguistics; 2019:2662–2671. 访问链接

Wang Z, Liu H, Du Y, Wu Z, Zhang X. Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation, in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. ijcai.org; 2019:3813–3819. 访问链接

Liu H, Jiang Z, Song Y, Zhang T, Wu Z. User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. Knowledge-Based Systems [Internet]. 2019;181. 访问链接

Liu H, Wu Z, Zhang X. CPLR: Collaborative pairwise learning to rank for personalized recommendation. Knowledge-Based Systems [Internet]. 2018;148:31–40. 访问链接

Du Y, Liu H, Wu Z, Zhang X. Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation, in IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018. IEEE Computer Society; 2018:109–116. 访问链接

Jiang Z, Liu H, Fu B, Wu Z, Zhang T. Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking, in Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018. ACM; 2018:288–296. 访问链接

Jiang Z, Liu H, Fu B, Wu Z. Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning, in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. AAAI Press; 2017:2073–2079. 访问链接